Noninvasive Monitoring of mRFP1- and mCherry-Labeled Oncolytic Adenoviruses in an Orthotopic Breast Cancer Model by Spectral Imaging by Anton V. Borovjagin, Lacey R. McNally, Minghui Wang, David T. Curiel, Mary J. MacDougall, Kurt R. Zinn

“…Either reporter was incorporated into the CRAd particles by genetic fusion to the viral capsid protein IX. Following intratumoral injection, localization and replication of each virus in orthotopic breast cancer xenografts were analyzed by spectral imaging and verified by quantitative polymerase chain reaction. …”
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Product Color Design Concept that Considers Human Emotion Perception: Based on Deep Learning and Cluster Analysis by Anqi Gao, Yantao Zhong

“…Subsequently, through transfer learning techniques, specific grid structures are used to retrain network weights, allowing for the fusion design of style and content images. This process ultimately achieves emotional color rendering design based on emotional color clustering and transfer learning. …”
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Higgs Production at µ+µ+ Colliders. Based on hep-ph/2408.01068 [1] by Treuer Lukas

“…The leading-order W+W− fusion process present at, e.g., µ+µ− colliders does not occur since both intial-state particles carry the same charge. …”
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Infrared Image Detection and Recognition of Substation Electrical Equipment Based on Improved YOLOv8 by Haotian Tao, Agyemang Paul, Zhefu Wu

“…In the neck layer, GSConv and VoVGSCSP modules are utilized for multi-stage, multi-feature map fusion, complemented by the integration of the EMA attention mechanism to improve feature extraction. …”
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Fast Query-by-Singing/Humming System That Combines Linear Scaling and Quantized Dynamic Time Warping Algorithm by Gi Pyo Nam, Kang Ryoung Park

“…Third, we combine the calculated distances of LS and QDTW algorithms based on score level fusion in order to enhance the matching accuracy. …”
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Visual Sensor Based Image Segmentation by Fuzzy Classification and Subregion Merge by Huidong He, Xiaoqian Mao, Wei Li, Linwei Niu, Genshe Chen

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Integration of Frequency Domain Wideband Antenna Nulling and Wavenumber Domain Image Formation for Multi-Channel SAR by M. Bucciarelli, D. Pastina, D. Cristallini, M. Sedehi, P. Lombardo

“…In this paper we consider a wideband antenna nulling technique based on space-frequency adaptive nulling and we propose an integration of the WB antenna nulling scheme within the focusing algorithm for M-SAR systems, thus allowing a fusion between ECCM and usual SAR processing steps. …”
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A Deep Learning Approach for Mental Fatigue State Assessment by Jiaxing Fan, Lin Dong, Gang Sun, Zhize Zhou

“…The study utilizes a hybrid deep neural network model, which integrates Residual Networks (ResNet) and Bidirectional Long Short-Term Memory (Bi-LSTM) for feature extraction, and a transformer for feature fusion. The model achieves an impressive accuracy of 95.29% in identifying fatigue from original ECG data, 2D spectral characteristics and physiological information of subjects. …”
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19. Yüzyılın Son Çeyreğinde Malatya'da Yaşanan Afetler, Sosyal, Ekonomik Krizler ve Yardım Faaliyetleri by Abdurrahim Fahimi AYDIN

“…While the people of Malatya were going through difficult times, they showed a good example of the fusion of the state and the nation, and carried out contractual activities with the state in needed areas. …”
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A Modified Technique for Laparoscopic Spleen Preserving Distal Pancreatectomy by Andreas Papatriantafyllou, Theodoros Mavromatis, Theano Demestiha, Dimitrios Filippou, Panagiotis Skandalakis

“…Following the surgical planes created by the fascia fusion and the organ rotation during embryogenesis (fascia of Toldt and renal fascia) with the patient in a right lateral decibutus position, the tumor was accessed retroperitoneally, without dividing the gastrocolic ligament and entering the lesser sac. …”
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Lightweight Transformer traffic scene semantic segmentation algorithm integrating multi-scale depth convolution by Gang XIE, Quanyi WANG, Xinlin XIE, Jian’an WANG

“…Aiming at the problems of discontinuous segmentation of thin strip objects that were easy to blend into the surrounding background and a large number of model parameters in the semantic segmentation algorithm of traffic scenes, a lightweight Transformer traffic scene semantic segmentation algorithm integrating multi-scale depth convolution was proposed.First, a multi-scale strip feature extraction module (MSEM) was constructed based on deep convolution to enhance the representation ability of thin strip target features at different scales.Secondly, a spatial detail auxiliary module (SDAM) was designed using the convolutional inductive bias feature in the shallow network to compensate for the loss of deep spatial detail information to optimize object edge segmentation.Finally, an asymmetric encoding-decoding network based on the Transformer-CNN framework (TC-AEDNet) was proposed.The encoder combined Transformer and CNN to alleviate the loss of detail information and reduce the amount of model parameters; while the decoder adopted a lightweight multi-level feature fusion design to further model the global context.The proposed algorithm achieves the mean intersection over union (mIoU) of 78.63% and 81.06% respectively on the Cityscapes and CamVid traffic scene public datasets.It can achieve a trade-off between segmentation accuracy and model size in traffic scene semantic segmentation and has a good application prospect.…”
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A Bioinspired Methodology Based on an Artificial Immune System for Damage Detection in Structural Health Monitoring by Maribel Anaya, Diego A. Tibaduiza, Francesc Pozo

“…The approach followed in this paper is a data-based approach based on AIS, where sensor data fusion, feature extraction, and pattern recognition are evaluated. …”
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Improved Newton Iterative Algorithm for Fractal Art Graphic Design by Huijuan Chen, Xintao Zheng

“…Fractal art graphics are the product of the fusion of mathematics and art, relying on the computing power of a computer to iteratively calculate mathematical formulas and present the results in a graphical rendering. …”
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Analysis of Emotional Deconstruction and the Role of Emotional Value for Learners in Animation Works Based on Digital Multimedia Technology by Shilei Liang

“…Remarkably, the recognition rate for negative emotions reaches an impressive 94.7%, significantly surpassing the performance of single-modal approaches and other feature fusion methods. This research presents invaluable insights for the training of multimedia animation production professionals, empowering them to better grasp the nuances of emotion transfer within animation and, thereby, realize productions of elevated quality, which will greatly improve the market operational efficiency of animation industry.…”
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Morphology of Peeled Internal Limiting Membrane in Macular Hole Surgery by Mun Y. Faria, David C. Sousa, Bruna C. Almeida, Andreia L. Pinto, Nuno P. Ferreira

“…ILM cell type, distribution, and morphology were analyzed, and the proliferation or fusion potential of the ILM interface was evaluated. …”
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Differential Dynamics of ATR-Mediated Checkpoint Regulators by Daniël O. Warmerdam, Roland Kanaar, Veronique A. J. Smits

“…We developed assays for the generation and validation of stable cell lines expressing GFP-fusion proteins. Photobleaching experiments in living cells expressing these fusions indicated that after UV-induced DNA damage, ATRIP associates more transiently with damaged chromatin than members of the Rad9-Rad1-Hus1 complex. …”
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Domestic Organic Waste: A Potential Source to Produce the Energy via a Single-Chamber Microbial Fuel Cell by Amira Suriaty Yaakop, Akil Ahmad, Fida Hussain, Sang-Eun Oh, Mohammed B. Alshammari, Raju Chauhan

“…One of the most talked about issues in modern molecular fusion is the reutilization of biological organic waste in an MFC. …”
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Cross refinement network with edge detection for salient object detection by Junjiang Xiang, Xiao Hu, Jiayu Ding, Xiangyue Tan, Jiaxin Yang

“…To solve these problems, this article proposes the novel cross refinement network, which consists of a Res2Net‐based backbone network; a fusion network equipped with four convolutional block attention modules and four edge‐salient cross units; and a detection network with an edge enhancement unit and a residual refinement network (RNN). …”
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Secure Cooperative Spectrum Sensing for the Cognitive Radio Network Using Nonuniform Reliability by Muhammad Usman, Insoo Koo

“…Considering only reliable users for global decision improves sensing time and decreases collisions in the control channel. The fusion center uses the degree of reliability as a weighting factor to determine the global decision in scheme I. …”
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On the design and evaluation of generative models in high energy density physics by Ankita Shukla, Yamen Mubarka, Rushil Anirudh, Eugene Kur, Derek Mariscal, Blagoje Djordjevic, Bogdan Kustowski, Kelly Swanson, Brian Spears, Peer-Timo Bremer, Tammy Ma, Pavan Turaga, Jayaraman J. Thiagarajan

“…Abstract Understanding high energy density physics (HEDP) is critical for advancements in fusion energy and astrophysics. The computational demands of the computer models used for HEDP studies have led researchers to explore deep learning methods to enhance simulation efficiency. …”
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